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西部数据中心:一个用于研究的跨区域健康数据共享生态系统。

The Ouest Data Hub: An Interregional Health Data Sharing Ecosystem for Research.

机构信息

Univ Rennes, CHU Rennes, INSERM, LTSI-UMR 1099, F-35000, Rennes, France.

Epidemiology Unit EpiDcliC, CDC, Dpt of Public Health, Tours University Hospital, France.

出版信息

Stud Health Technol Inform. 2024 Aug 22;316:1679-1683. doi: 10.3233/SHTI240746.

Abstract

The Ouest Data Hub (ODH) a project lead by GCS HUGO which is a cooperation group of University Hospitals in the French Grand Ouest region represents a groundbreaking initiative in this territory, advancing health data sharing and reuse to support research driven by real-world health data. Central to its structure are the Clinical Data Warehouses (CDWs) and Clinical Data Centers (CDCs), essential for analytics and as the linchpin of the ODH's status as an interregional Learning Health System. Aimed at fostering innovation and research, the ODH's collaborative and multi-institutional model effectively utilizes both local and shared resources. Yet, the path is not without challenges, especially in data quality and interoperability, where ongoing harmonization and standard adherence are critical. In 2023, this facilitated access to extensive health data from over 9.3 million patient records, demonstrating the ODH's capacity for both monocentric and multicentric research across various clinical fields, in close collaboration with physicians. The integration of healthcare professionals is crucial, ensuring data's clinical relevance and guiding accurate interpretations. Future expansions of the ODH to new hospitals and data types promise to enhance its model further, already inspiring similar frameworks across France. This scalable model for health data ecosystems showcases the ODH's potential as a foundation for national and supranational data sharing efforts.

摘要

奥斯特数据中心(ODH)是由 GCS HUGO 领导的一个项目,该组织是法国大西部地区大学附属医院的合作团体,代表了该地区在这一领域的开创性举措,推进了健康数据的共享和再利用,以支持基于真实健康数据的研究。其结构的核心是临床数据仓库(CDW)和临床数据中心(CDC),它们是分析的基础,也是 ODH 作为区域间学习健康系统的关键。该中心旨在促进创新和研究,其协作和多机构模式有效地利用了本地和共享资源。然而,道路并非没有挑战,特别是在数据质量和互操作性方面,需要不断进行协调和遵守标准。2023 年,这为来自超过 930 万份患者记录的广泛健康数据提供了便利,展示了 ODH 在与医生密切合作的情况下,在各个临床领域进行单中心和多中心研究的能力。医疗保健专业人员的整合至关重要,确保数据的临床相关性并指导准确的解释。ODH 向新医院和新数据类型的扩展有望进一步增强其模型,已经在法国各地激发了类似的框架。这种健康数据生态系统的可扩展模型展示了 ODH 作为国家和跨国数据共享努力的基础的潜力。

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